1) quantum neuron
量子神经元
1.
A quantum neuron compositing weighting,aggregating,activating and prompting parts was constructed and used to develop a three-step quantum neural networks model.
基于生物神经元信息处理机制和量子计算原理构造出一种量子神经元,该神经元由加权、聚合、活化、激励四部分组成。
2.
Quantum Neural Networks(QNN) Integrates the characteristics of artificial neural networks by quantum neuron computing,and becomes a promising field in information processing.
以相移门和受控非门作为基本的计算单元,借助复数BP学习算法,构造出量子神经元模型,并通过数值计算给出了该量子神经元的收敛特性曲线。
3.
The fundamental of QNN is introduced and a model for quantum neuron is described.
介绍了与量子神经 网络相关的量子计算基础,描述了一种量子神经元模型,分析证明了单个量子神经元具有与两层前向神经网络相当的非线 性映射能力。
2) quantum neural unit
量子神经元
1.
The quantum neural network consists of several quantum neural units.
提出了一种基于量子神经网络的软测量模型,组成该模型的量子神经元对信息的处理分为两阶段。
3) Electronic Neuron
电子神经元
5) quantum neural networks
量子神经网络
1.
Performance of multiuser detection for CDMA system using quantum neural networks in flat Rayleigh fading environment;
平坦瑞利环境下多用户检测的量子神经网络方法
2.
A quantum neural networks(QNN) method for forecasting oil recovery ratio in molecule deposition oil-displacement was proposed on the basis of the information processing of biology neuron and quantum computing theory.
提出一种用于预测分子沉积(MD)膜驱原油采收率的量子神经网络方法。
3.
This paper introduces the Quantum Neural Networks model based on multilevel activation function and its algorithm briefly.
本文介绍了基于多层激励函数的量子神经网络模型及其算法,并将量子神经网络模型应用于电机转子故障诊断中, 比较了BP神经网络和量子神经网络(QNN)的故障识别精度。
6) quantum neural network
量子神经网络
1.
Handwritten digital recognition method based on quantum neural networks;
基于量子神经网络的手写体数字识别方法研究
2.
Handwritten digital recognition method based on new feature extraction method and quantum neural network
基于新特征提取法和量子神经网络的手写数字识别
3.
A learning algorithm and its applications to the quantum neural network model
一种量子神经网络模型学习算法及应用
补充资料:神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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